Location: Visakhapatnam / Remote Employment Type : Full-time Compensation : As per industry standards NOTE: Filling out the form below is mandatory to be considered for the role: https://forms.gle/AL21dSCXQeBFwFSG8 About the Role We are looking for a versatile Software Engineer with expertise in AI/ML who can build robust applications, design scalable systems, and integrate machine learning models into production environments. This role is ideal for someone who enjoys working across the full engineering stack — from backend services and APIs to ML pipelines and deployment. Key Responsibilities Software Engineering ● Design, develop, and maintain high-quality backend services and APIs. ● Write clean, efficient, and testable code in Python, Java, or similar languages. ● Build scalable, cloud-native systems (AWS/GCP/Azure). ● Implement CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring. ● Ensure security, reliability, and performance of applications. AI/ML Engineering ● Collect, preprocess, and analyze data for training and evaluation. ● Build and fine-tune ML/DL models using PyTorch/TensorFlow/scikit-learn. ● Integrate ML models into production systems via APIs, microservices, or batch pipelines. ● Optimize models for performance, scalability, and latency in real-world applications. ● Monitor models in production for drift, reliability, and fairness. Collaboration & Product Impact ● Work closely with product managers, designers, and data scientists to deliver end-to-end solutions. ● Translate business problems into engineering + ML solutions. ● Contribute to architectural decisions for both software systems and ML pipelines. ● Write clear documentation and mentor junior engineers where needed. Qualifications Must-have: ● Bachelor’s/Master’s in Computer Science, Software Engineering, or related field. ● 3–6+ years of experience in software engineering + hands-on ML experience. ● Strong programming skills in Python (preferred), plus Java/Go/Node for backend. ● Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn). ● Solid understanding of algorithms, data structures, and system design. ● Experience with databases (SQL + NoSQL), caching, and REST/GraphQL APIs. ● Knowledge of cloud services (AWS/GCP/Azure) and container orchestration (K8s). Nice-to-have: ● Experience with MLOps (MLflow, Airflow, Kubeflow). ● Exposure to frontend frameworks (React, Angular, or Flutter for mobile). ● Knowledge of big data pipelines (Spark, Kafka, Dataflow). ● Prior work in NLP, Computer Vision, or Generative AI. Soft Skills ● Ability to work across the full stack of software + ML. ● Strong problem-solving and debugging skills. ● Comfort working in fast-paced, startup-like environments. ● Passion for building real products that combine software and AI. What We Offer ● Competitive salary, equity and benefits. ● Opportunity to work on cutting-edge AI systems in real-world products. ● A role that blends software craftsmanship with AI innovation. ● Career growth in both software engineering and AI/ML specialization.
As a Software Engineer specializing in AI/ML, you will play a crucial role in designing and implementing robust applications and scalable systems, integrating machine learning models into production environments. Your expertise will be utilized across the full engineering stack, from backend services and APIs to ML pipelines and deployment. **Key Responsibilities:** - **Software Engineering:** - Design, develop, and maintain high-quality backend services and APIs. - Write clean, efficient, and testable code in Python, Java, or similar languages. - Build scalable, cloud-native systems (AWS/GCP/Azure). - Implement CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring. - Ensure security, reliability, and performance of applications. - **AI/ML Engineering:** - Collect, preprocess, and analyze data for training and evaluation. - Build and fine-tune ML/DL models using PyTorch/TensorFlow/scikit-learn. - Integrate ML models into production systems via APIs, microservices, or batch pipelines. - Optimize models for performance, scalability, and latency in real-world applications. - Monitor models in production for drift, reliability, and fairness. - **Collaboration & Product Impact:** - Work closely with product managers, designers, and data scientists to deliver end-to-end solutions. - Translate business problems into engineering + ML solutions. - Contribute to architectural decisions for both software systems and ML pipelines. - Write clear documentation and mentor junior engineers where needed. **Qualifications:** **Must-have:** - Bachelors/Masters in Computer Science, Software Engineering, or related field. - 3-6 years of experience in software engineering + hands-on ML experience. - Strong programming skills in Python (preferred), plus Java/Go/Node for backend. - Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn). - Solid understanding of algorithms, data structures, and system design. - Experience with databases (SQL + NoSQL), caching, and REST/GraphQL APIs. - Knowledge of cloud services (AWS/GCP/Azure) and container orchestration (Kubernetes). **Nice-to-have:** - Experience with MLOps (MLflow, Airflow, Kubeflow). - Exposure to frontend frameworks (React, Angular, or Flutter for mobile). - Knowledge of big data pipelines (Spark, Kafka, Dataflow). - Prior work in NLP, Computer Vision, or Generative AI. **Soft Skills:** - Ability to work across the full stack of software + ML. - Strong problem-solving and debugging skills. - Comfort working in fast-paced, startup-like environments. - Passion for building real products that combine software and AI. **What We Offer:** - Competitive salary, equity and benefits. - Opportunity to work on cutting-edge AI systems in real-world products. - A role that blends software craftsmanship with AI innovation. - Career growth in both software engineering and AI/ML specialization.,
Location: Visakhapatnam / Remote Employment Type : Full-time Compensation : As per industry standards NOTE: Filling out the form below is mandatory to be considered for the role: https://forms.gle/AL21dSCXQeBFwFSG8 About the Role We are looking for a versatile Software Engineer with expertise in AI/ML who can build robust applications, design scalable systems, and integrate machine learning models into production environments. This role is ideal for someone who enjoys working across the full engineering stack — from backend services and APIs to ML pipelines and deployment. Key Responsibilities Software Engineering ● Design, develop, and maintain high-quality backend services and APIs. ● Write clean, efficient, and testable code in Python, Java, or similar languages. ● Build scalable, cloud-native systems (AWS/GCP/Azure). ● Implement CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring. ● Ensure security, reliability, and performance of applications. AI/ML Engineering ● Collect, preprocess, and analyze data for training and evaluation. ● Build and fine-tune ML/DL models using PyTorch/TensorFlow/scikit-learn. ● Integrate ML models into production systems via APIs, microservices, or batch pipelines. ● Optimize models for performance, scalability, and latency in real-world applications. ● Monitor models in production for drift, reliability, and fairness. Collaboration & Product Impact ● Work closely with product managers, designers, and data scientists to deliver end-to-end solutions. ● Translate business problems into engineering + ML solutions. ● Contribute to architectural decisions for both software systems and ML pipelines. ● Write clear documentation and mentor junior engineers where needed. Qualifications Must-have: ● Bachelor’s/Master’s in Computer Science, Software Engineering, or related field. ● 3–6+ years of experience in software engineering + hands-on ML experience. ● Strong programming skills in Python (preferred), plus Java/Go/Node for backend. ● Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn). ● Solid understanding of algorithms, data structures, and system design. ● Experience with databases (SQL + NoSQL), caching, and REST/GraphQL APIs. ● Knowledge of cloud services (AWS/GCP/Azure) and container orchestration (K8s). Nice-to-have: ● Experience with MLOps (MLflow, Airflow, Kubeflow). ● Exposure to frontend frameworks (React, Angular, or Flutter for mobile). ● Knowledge of big data pipelines (Spark, Kafka, Dataflow). ● Prior work in NLP, Computer Vision, or Generative AI. Soft Skills ● Ability to work across the full stack of software + ML. ● Strong problem-solving and debugging skills. ● Comfort working in fast-paced, startup-like environments. ● Passion for building real products that combine software and AI. What We Offer ● Competitive salary, equity and benefits. ● Opportunity to work on cutting-edge AI systems in real-world products. ● A role that blends software craftsmanship with AI innovation. ● Career growth in both software engineering and AI/ML specialization.
About the Role We are hiring Product Managers to work directly with the CEO/CTO on building AI-first, platform-level products. This is a hands-on, execution-heavy PM role in a fast-moving startup environment — not a coordination or ceremonial role. You will be fluid across products, comfortable with ambiguity, and capable of owning initiatives end-to-end — from problem discovery to shipping and adoption. Strong ownership matters more than titles or past company logos. What You’ll Do Product Ownership & Execution Own product discovery, definition, and delivery across multiple AI products Write clear PRDs, user stories, and acceptance criteria Drive story grooming, backlog prioritization, and sprint planning Ensure fast, predictable shipping without sacrificing clarity Roadmaps & Leadership Communication Build and maintain product roadmaps aligned with company priorities Present product direction, trade-offs, and progress to executive leadership Translate strategy into executable plans for engineering and design teams Technical & AI-First Product Work Own what / why / how for smaller initiatives; influence the how for larger ones Review technical designs, APIs, and system trade-offs with engineering Act as a power user of AI tools in daily PM work Build AI-native thinking into product requirements, not as an afterthought Wearing Multiple Hats Step in wherever needed: launches, customer calls, internal alignment, product ops Optimize for outcomes over rigid role boundaries What We’re Looking For 1)Experience & Background 2–6 years of recent Product Management experience Flexible if strong ownership is demonstrated 2)Computer Science / Engineering background or equivalent hands-on technical experience 3)Experience with AI-first, platform, or B2B SaaS products is a strong plus Domain-agnostic candidates welcome if learning speed and ownership are exceptional 4)Core PM Skills (Non-Negotiable) Strong backlog prioritization and roadmap planning Excellent story grooming and execution discipline Ability to balance speed with clarity Comfort operating in ambiguity and fast-changing environments 5)AI & Tooling Expectations Power user of AI tools (ChatGPT, Claude, Copilot, etc.) Comfortable using AI for: Product thinking and ideation PRDs and documentation Research and analysis Workflow automation 6)Familiarity with modern PM & dev tools (Jira/Linear, Notion/Confluence, GitHub, analytics tools) 7)Communication & Ownership High bar for written and verbal communication preferred Ability to clearly articulate trade-offs, risks, and decisions Founder-level ownership: you take responsibility, not just notes What Success Looks Like (6–12 Months) Products ship faster, cleaner, and with less chaos Clear, credible roadmaps trusted by engineering and leadership Strong customer feedback loops influence what gets built You operate as a force multiplier for the CEO/CTO --- Compensation Market-aligned cash compensation No equity Scope, growth, and responsibility scale with impact