- Manage sales operations in assigned district to achieve revenue goals.
- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
- Identify skill gaps and conduct trainings to sales team.
- Work with team to implement new sales techniques to obtain profits.
- Assist in employee recruitment, promotion, retention and termination activities.
- Conduct employee performance evaluation and provide feedback for improvements.
- Contact potential customers and identify new business opportunities.
- Stay abreast with customer needs, market trends and competitors.
- Maintain clear and complete sales reports for management review.
- Build strong relationships with customers for business growth.
- Analyze sales performances and recommend improvements.
- Ensure that sales team follows company policies and procedures at all times.
- Develop promotional programs to increase sales and revenue.
- Plan and coordinate sales activities for assigned projects.

About Casey Foods
About
We are eastern Odisha based FMCG company under the aegis of Casey Foods having our production/manufacturing unit at Phulbani, Kandhamal District. We deal with day to day FMCG products involving common customer interest. Our common products include most of the Indian species and common edibles. Produced under controlled hygienic conditions following strict processing parameters, Casey believes quality to be in its core. Our round the clock quality testers monitor the batch by batch production thus ensuring quality to be above all in front of our esteemed customers. State of the art machineries work round the clock ensuring flawless production satisfying every customer demands. Being certified with HCCAP and FSSAI, the products of Casey had gained excellence at par. This is due to our dedicate efforts towards customer satisfaction Casey believe in “make with trust”.
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Your Responsibilities
what you will wake up to solve.
- Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
- Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
- Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
- Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
- Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
- Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
- The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
- Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.
Functional Skills
Scaling Intelligent Workforce through Delivery Excellence
- Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
- Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
- Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
- Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
- Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.
Technical Oversight & Execution Charter
- Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
- Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
- End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
- Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.
Tech Superpowers
- Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
- Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
- Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
- Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.
Experience & Relevance
- A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
- Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
- Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
- Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
- Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.
Bonus Points (you will thrive if you have)
- Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
- Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
- AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
- Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
- Ethical Compass: Strong commitment to responsible AI practices.
- Engineer at Heart: Background in product development or engineering before moving into architecture.
- Managing Availability, Performance, Capacity of infrastructure and applications.
- Building and implementing observability for applications health/performance/capacity.
- Optimizing On-call rotations and processes.
- Documenting “tribal” knowledge.
- Managing Infra-platforms like Mesos/Kubernetes, CICD, Observability (Prometheus/New
Relic/ELK, Databases, Data Platforms Infrastructure
- Providing help in onboarding new services with a production readiness review process.
- Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
- Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
- Working with the Dev team to have in depth understanding of the application architecture and
its bottlenecks.
- Identifying observability gaps in product services, infrastructure and working with stake owners
to fix it.
- Managing Outages and doing detailed RCA with developers and identifying ways to avoid that
situation.
- Managing/Automating upgrades of the infrastructure services.
- Automate toil work.
- A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
They have partnered with 200+ MNCs for training of their working professionals and also for their alumni placement. They have partnered with 60+ universities and autonomous colleges to upskill students via university programs integrated with skill-based offerings
- Leading HR projects like compensation plans revisions
- Implementing functional HRMS and internal databases across all departments and locations
- Overseeing payroll and performance evaluation systems
- Designing company policies and procedures
- Reviewing and updating employment contracts and agreements
- Preparing budgets by department
- Tracking key HR metrics like cost per hire and retention rates
- Managing internal communication projects (like job satisfaction surveys)
- Measuring the effectiveness of company's benefits programs and recommend improvements
- Coordinating employee training and development initiatives
- Ensuring recordkeeping and data processing procedures comply with required standards.
Desired Candidate Profile
What you need to have:- Proven work experience as a Head of HR Operations or in a similar role required
- Proficiency in Human Resources Information Systems including payroll tools Proficiency in designing compensation and benefits programs
- Strong knowledge of labor legislation
- Excellent communication skills and Leadership abilities
- Designing and developing advanced applications for android platforms.
- Collaborate with UI/UX designers as well as the software engineers to make sure that each app is presentable.
- Test the applications, identify any bugs and resolve them
- Manage tasks within Agile framework and controlled JIRA workflow.
- Document architecture and implementation for internal and external components.
Qualifications:
- 1+ years of experience in Android Development .
- Previous experience working in a fast paced start up is a plus.
- Released at least 1 app or have a project in works that you can tell us about.
- Experience publishing a high-quality android application to the google store.
- Solid understanding of the full mobile development life cycle.
- Experience working with Android SDK and Android studio.
- Good in JAVA (j2se) and Kotlin
- Experience with APIs (OAuth, XML, JSON, REST, etc. )
- Ability to understand business requirements and convert them into technical requirements.
Job Types: Full-time, Regular / Permanent
A Solutions Architect is responsible for validating the logical models, ensuring standards, driving consolidation of redundant data, and enforcing the strategic vision through data models. The Architect role has an in-depth understanding of both our business capabilities and how it aligns to our enterprise data models. Partners with Enterprise Architecture to consult on and develop domain models. Consults with project teams and functional units on the design of important projects or services. consults with business leadership on the design of systems and projects. May consult with leadership on emerging technologies.
To be successful as a solution architect, you should be able to integrate any updated specifications and requirements into the systems architecture. An outstanding solution architect should be able to explain complex problems to management in layman’s terms.
Responsibilities:
Building and integrating information systems to meet the company’s needs.
Assessing the systems architecture currently in place and working with technical staff to recommend solutions to improve it.
E2E accountability of solution design across multiple products, integrations and technologies that deliver successful business outcomes which meet reliability, availability, serviceability needs.
Experience working with the latest emerging tehnolgies and Programming Languages like - Java, .Net, MERN Stack, MEAN Stack, Angular, React, VueJS, NodeJS, Block Chain, GoLang, ML, Data Science related areas, etc
Provide detailed specifications for proposed solutions
Resolving technical problems as they arise.
Providing supervision and guidance to development teams.
Continually researching current and emerging technologies and proposing changes where needed.
Informing various stakeholders about any problems with the current technical solutions being implemented.
Assessing the business impact that certain technical choices have.
Providing updates to stakeholders on product development processes, costs, and budgets.
Work closely with Information Technology professionals within the company to ensure hardware is available for projects and working properly
Propose and establish framework for necessary contributions from various departments
Account for possible project challenges on constraints including, risks, time, resources, and scope
- 3-6 years of relevant work experience in a Data Engineering role.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- A good understanding of Airflow, Spark, NoSQL databases, Kafka is nice to have.
- Premium Institute Candidates only
- 12 to 16 years of experience in enterprise level software architecture, design, development (architecture, design patterns, reliability and scaling) of new and current systems
- Experienced in Full Stack product development
- Bachelor’s Degree in computer science or a related field
- Computer Science fundamentals in data structures, algorithm design and problem solving.
- Extensive knowledge and deep understanding of Java and related technologies
- Experience with modern software development methodologies: Agile/Kanban, CI/CD, DevOps, etc.
- Proficiency in Full Stack product development
- Proficiency with Java is essential.
- Proficiency with React, TypeScript, JavaScript, HTML CSS is essential
- Proficient with REST APIs
- Proficient with product development experience on both front end and back end
- Experience with AWS and/or other public cloud technologies.
- Database Experience (query optimization, index generation, caching) or NoSQL DBs a plus
Preferred Qualifications:
Your Impact
This team is accountable for platform architecture evolution to meet the evolving needs of different business lines globally with rapid software deployment. As stewards of critical components in order execution and post-trade, the team is accountable for a high degree of software quality. The team consists of self-guided pragmatic individuals who are motivated to change the status quo in calculated ways.
As a member of the team, you will play an integral role on the trading floor. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring trading performance for systems and strategies used by our clients.
RESPONSIBILITIES AND QUALIFICATIONS
Responsibilities
+ Design, build and maintain low latency, high-performance electronic trading platform components, with a focus on market data, exchange and client connectivity and risk controls.
+ Deliver continuous optimization for latency, scale and resiliency improvements.
+ Participate in system builds for various markets globally, have curiosity and interest in understanding market microstructure details, work closely with engineering, sales and product teams globally for successful delivery of projects.
+ Basic Qualifications
+ Bachelors or Masters degree in computer science or engineering or equivalent experience
+ 3+ years of professional experience developing deterministic high performance, low latency systems in C++ (counted in single digit microseconds)
+ Prior experience with FIX and binary exchange connectivity and market data protocols preferred
+ Strong knowledge of object oriented programming, data structures, algorithms and design patterns
+ Critical path analysis, performance optimization and hardware acceleration.
+ Linux systems programming experience including memory management, concurrent programming infrastructure, and the networking stack
+ Experience developing distributed architecture systems and messaging protocols
+ Strong analytical and problem solving skills
+ Comfortable in a fast-paced environment, self-motivated, results driven and commercially focused
Preferred Qualifications
+ Software development in C++ in the context of high performance (low-latency, high-throughput) real-time computing.
+ Familiarity with STL and C++11/14 language extensions, Boost
+ Network programming (sockets, TCP/UDP/Multicast protocols)
+ Multi-threading, concurrent programming
+ Intimate knowledge of compilers, flow of data at hardware level (memory/caches, buses) + Some experience with FPGA or other hardware acceleration technologies
+ Experience processing large static datasets as well as high volume ticking data sources + Over 3 years' experience in Financial industry(Good to have)
We are looking for a full-time iOS developer to join our team. You’ll be responsible for developing and maintaining high-end apps for companies from all over the world.
2-Basic architecture patterns of mobile development.
3-Fundamentals in object-oriented design, data structures, and problem-solving.
4-Comfortable with Git
5-Writes clean code
6-Fluent in English (you’ll be talking to US clients frequently)












