Description
Lead AI/ML Engineer
Location: Bengaluru, India
Department: Techinical
Experience: 6-7 Years
Job Title: Lead AI/ML Engineer
Experience: 6–7 Years
Location: Whitefield, Bangalore
Employment Type: Full-Time (Onsite)
About Hithonix Solutions Pvt Ltd
Hithonix Solutions Pvt Ltd is a forward-thinking technology company delivering intelligent, scalable, and innovative software solutions that drive business growth. Built on values of quality, integrity, and excellence, we foster a collaborative culture that encourages innovation, continuous learning, and technical ownership. We work across domains such as e-commerce, fintech, health tech, and enterprise software, leveraging cutting-edge AI and cloud technologies to solve complex business problems.
Job Overview
We are seeking an experienced AI / ML Tech Lead to own the technical vision, architecture, and execution of our AI and Machine Learning initiatives. This is a hands-on leadership role where you will design scalable ML systems, lead end-to-end delivery of production-grade AI solutions, and mentor a team of AI/ML engineers.
You will play a critical role in building robust MLOps pipelines, deploying models at scale, and driving innovation in areas such as Generative AI, LLMs, RAG pipelines, and intelligent agents.
Key Roles & Responsibilities
Technical Leadership & Architecture
- Define and own end-to-end AI/ML system architecture including data pipelines, model training, deployment, serving, and monitoring
- Establish engineering standards, best practices, and coding guidelines for ML development and MLOps
- Make key architectural decisions related to frameworks, tools, cloud platforms, scalability, and security
End-to-End AI/ML Lifecycle Ownership
- Lead the complete ML lifecycle: problem definition, data analysis, feature engineering, model development, evaluation, and deployment
- Ensure production readiness with focus on performance, reliability, explainability, security, and compliance
- Design monitoring, retraining strategies, and model/version lifecycle management
Team Leadership & Collaboration
- Mentor and guide AI/ML engineers and data scientists through code reviews and technical coaching
- Delegate tasks, unblock technical challenges, and ensure timely delivery of milestones
- Act as the primary technical interface between product managers, data engineers, backend teams, and stakeholders
MLops & Cloud Excellence
- Drive implementation of MLOps best practices including CI/CD, automated testing, experiment tracking, and monitoring
- Design and manage scalable ML deployments using Docker, Kubernetes, and cloud-native ML services
- Optimize cloud infrastructure for cost, performance, and reliability
Innovation & Emerging Technologies
- Lead research and adoption of Generative AI, LLMs, embeddings, RAG architectures, and agent-based systems
- Evaluate and introduce new tools, frameworks, and platforms to improve solution quality and team productivity
- Identify technical risks early and implement mitigation strategies
Required Skills & Experience
Experience
6+ years of professional experience in AI, Machine Learning, or Deep Learning
2+ years in a technical leadership, senior engineer, or architect role.
Technical Skills
- Strong proficiency in Python and ML/DL frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost
- Solid foundation in data structures, algorithms, probability, and statistics
- Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow
- Expertise with Docker, Kubernetes, and containerized ML deployments
- Experience with cloud platforms: AWS (SageMaker), Azure ML, or GCP Vertex AI
- Strong SQL skills; experience with Pandas, NumPy, and data preprocessing
- Proven experience deploying ML models via REST APIs (FastAPI / Flask)
- Hands-on exposure to NLP and/or Computer Vision use cases
- Strong understanding of LLMs, embeddings, RAG pipelines, and Generative AI
- Experience with Git, CI/CD pipelines, and data/model versioning
- Exposure to Spark, Databricks, or Hadoop is a plus
Leadership & Soft Skills
- Strong technical decision-making and analytical problem-solving skills
- Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders
- Proven ability to mentor engineers and build high-performing teams
- Familiarity with Agile/Scrum development methodologies
Educational Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or a related field
- Cloud or AI/ML certifications (AWS, Azure, GCP) are an added advantage
Why Join Hithonix Solutions?
- Lead high-impact AI and ML initiatives with real-world business value
- Work on cutting-edge technologies including Generative AI and LLM-based systems
- Collaborate with skilled engineers, data scientists, and cloud experts
- Competitive compensation, continuous learning opportunities, and a strong growth-oriented culture
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