Senior Machine Learning Engineer II

Career Level: Principal Level 

Who We Are:

This is Spearhead Technology — where every challenge is an opportunity, and every solution is a masterpiece in the making. As a full-lifecycle IT company, we transcend mere delivery; we engineer success.

From inception to implementation, our seasoned expertise shepherds every phase of the journey. Be it planning, analysis, design, development, testing, or the seamless transition to production, we stand as steadfast partners in our clients’ progress.

At Spearhead Technology, quality isn't a mere aspiration—it's our ethos. Rooted in Tech Advisory, our methodology is guided by insights that spark transformative outcomes. We recognize the paramount importance of talent retention. Through a steadfast commitment to work-life balance, competitive remuneration packages, and an optimized operational model, we ensure our team remains as exceptional as our services.

Step into Spearhead Technology, where innovation meets precision, and together, let's sculpt the future of technology with finesse and distinction.

Requirements

As a Senior Machine Learning Engineer II, you will own the technical and architectural direction for a portfolio of ML-driven products and solutions. You will lead large-scale, high-impact AI/ML initiatives, fostering innovation while shaping the future of machine learning engineering within our enterprise. Your role will involve strategic decision-making, cross-team collaboration, and the development of best-in-class ML systems, ensuring scalability, efficiency, and performance.

You will also play a pivotal role in mentoring and guiding Engineers and Senior Engineers, ensuring that best practices are followed and technical excellence is maintained. As a leader, you will remove blockers, drive consensus, and align products with business and customer needs while optimizing costs and performance.

Key Responsibilities

Technical Leadership & Strategy

• Own the technical and architectural direction for a portfolio of ML-driven products and platforms.
  
• Define enterprise-wide ML engineering strategies, setting best practices, standards, and methodologies.
  
• Drive large-scale ML system design and development, ensuring alignment with global enterprise standards.
  
• Lead cross-functional teams, collaborating across engineering, data science, product, and business units.
  
• Contribute to technical roadmaps, project planning, and prioritization, ensuring high-impact delivery.
  
• Evaluate and recommend emerging ML technologies and frameworks to drive innovation.
  

Machine Learning Development & Optimization

• Develop and deploy high-performance ML models and algorithms for real-world applications.
  
• Optimize ML workflows, pipelines, and infrastructure for efficiency, scalability, and cost-effectiveness.
  
• Ensure responsible AI principles are integrated into model development, including bias detection and explainability.
  
• Drive performance improvements through feature engineering, model tuning, and hyperparameter optimization.
  
• Apply deep knowledge of MLOps to enhance CI/CD processes for ML models.
  

Software Engineering & Architecture

• Mastery in at least one programming language (Python, Java, Scala, C++) with expertise in performance optimization, scalability, and maintainability.
  
• Strong familiarity with one or more additional programming languages to support multi-domain problem-solving.
  
• Define architecture and design patterns for scalable ML solutions across cloud and on-prem environments.
  
• Proficiency in diagnosing and resolving complex distributed system challenges in AI/ML applications.
  

Cross-Team Collaboration & Communication

• Represent the client in global ML initiatives, shaping industry trends and enterprise decisions.
  
• Guide cross-functional discussions, removing blockers and fostering consensus-building.
  
• Effectively communicate high-impact technical strategies to executives, engineers, and stakeholders.
  
• Work closely with data scientists, MLOps engineers, and platform teams to enhance AI capabilities.
  

Business & Financial Impact

• Cultivate a customer-centric ML engineering culture, aligning solutions with business goals.
  
• Manage and optimize engineering budgets, balancing cost efficiency with innovation.
  
• Monitor and assess market dynamics, competition, and emerging ML trends to maintain a competitive edge.
  

Mentorship & Thought Leadership

• Act as a mentor and approver for the work of Engineers and Senior Engineers.
  
• Influence best practices in ML software engineering, ensuring adherence to high-quality coding and deployment standards.
  
• Publish research, contribute to internal knowledge-sharing, and engage in external ML communities.
  

Qualifications & Skills

Technical Expertise

• 10-14 years of experience in Machine Learning Engineering, Data Science, or Software Engineering.
  
• Mastery in at least one of the following: Python, Scala, Java, C++ (with strong understanding of additional languages).
  
• Deep expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.).
  
• Strong background in MLOps, CI/CD for ML models, and cloud-based ML deployment (AWS SageMaker, Azure ML, GCP Vertex AI).
  
• Extensive experience with big data frameworks (Apache Spark, Hadoop, Dask, Ray).
  
• Proven ability to design and optimize ML pipelines and distributed computing systems.
  

Business & Leadership

• Strong strategic decision-making and product alignment skills.
  
• Ability to lead large-scale ML projects independently, navigating organizational complexity.
  
• Experience in financial and budget management for engineering projects.
  
• Exceptional ability to influence and communicate with senior executives and engineering teams.
  

Benefits

What’s in it for you:

At Spearhead Technology, we prioritize your well-being and professional growth. Here's what you can expect:

• Achieve a healthy work-life balance.
  
• Competitive compensation and abundant growth opportunities.
  
• Enjoy a standard 5-day workweek with 2 fixed weekly offs.
  
• Experience an employee-centric environment with supportive policies.
  
• Benefit from family-friendly and flexible work arrangements.
  
• Access our Performance Advancement and Career Enhancement (PACE) initiative and discover opportunities for both personal and professional growth. From tailored career development plans to expert counseling services, PACE empowers you to chart your course to success with confidence and clarity.
  Elevate your career trajectory with our Learning & Development (L&D) program. Join our team and embark on a transformative journey of upskilling and self-discovery. With continuous learning as your compass, you'll not only enhance your expertise but also open doors to new opportunities, paving the way for career growth and fulfillment.
  
  

Please note : At Spearhead Technology, we value the importance of collaboration, learning, and fostering connections with clients, peers, leaders, and communities. While some in-person engagement may be required for certain roles, we are committed to providing flexibility to accommodate your individual work-life balance needs.

As an equal opportunities’ employer, Spearhead Technology welcomes and encourages applications from all members of society. We are dedicated to creating an inclusive environment where diversity is celebrated, and individuals are valued for their unique perspectives and contributions. We do not discriminate on the basis of race, religion or belief, ethnicity, disability, age, citizenship, marital or civil partnership status, sexual orientation, or gender identity.