ENLOG is one of the fastest-growing deep technology startups, focused on building innovative solutions that create real-world impact. We are expanding our team and looking for passionate individuals eager to learn, research, and contribute to data-driven decision-making.
About the Role
We are seeking a skilled and motivated AI & ML Engineer to design, build, and deploy advanced machine learning models and AI-driven solutions. The ideal candidate will have strong foundations in mathematics, programming, and data science, with proven experience in developing algorithms that solve real-world problems at scale.
Key Responsibilities
Design, develop, and implement machine learning models and AI solutions for business use cases.
Preprocess and analyze large datasets to extract meaningful insights.
Build and optimize data pipelines for training and deployment.
Collaborate with data scientists, product managers, and engineering teams to integrate ML models into production systems.
Evaluate model performance and continuously improve accuracy, scalability, and efficiency.
Research and experiment with cutting-edge AI/ML techniques (e.g., deep learning, NLP, computer vision, recommendation systems).
Ensure compliance with data privacy, security, and ethical AI standards.
Document processes, methodologies, and outcomes for knowledge sharing and audit.
Qualifications & Skills
Education/Certification: Degree, diploma, or bootcamp certification in Data Science, Machine Learning, Artificial Intelligence, Mathematics, or Statistics.
Practical Skills First: We appreciate practical skills and demonstrable knowledge over formal degrees.Candidates with strong project portfolios will be highly valued.
Hands-on project work with ability to demonstrate results (GitHub repositories, portfolio, media files, or case studies).
Prior internship experience or solid self-driven projects (mandatory for internship applicants).
Strong foundation in Python (mandatory) and basic understanding of data analytics, machine learning, AI, and backend systems.
Additional exposure to other programming languages like R or Java is a plus (not mandatory).
Familiarity with the Electricity/Energy domain will be considered an added advantage.
Ability to work independently, manage datasets, and build simple ML/AI solutions with a structured approach.
Strong problem-solving skills, curiosity, and willingness to learn new technologies quickly.
Technical Skills:
Strong proficiency in Python, R, or Java for machine learning.
Hands-on experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.
Experience with data processing tools: Pandas, NumPy, SQL, Spark.
Knowledge of NLP, Deep Learning, Computer Vision, or Reinforcement Learning.
Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.
Understanding of data structures, algorithms, and software engineering principles.
Soft Skills:
Strong analytical and problem-solving abilities.
Effective communication and collaboration skills.
Ability to work in a fast-paced and dynamic environment.
What We Offer
Opportunity to work on cutting-edge AI/ML projects.
Collaborative and innovative work culture.
Access to learning & development programs.
Competitive salary and benefits.
Job Types: Full-time, Permanent, Fresher
Pay: Up to ?500,000.00 per year
Benefits:
Flexible schedule
Provident Fund
Work Location: In person
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