Note : Kindly note only below qualification will be considered for this positions Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs) Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs. Role Description We are currently looking for bright Deep learning talent who have 3-4 years of industry experience (1.5-2 years in practical Deep Learning industry projects), working on problems related to the Video AI space. A Deep Learning engineer gets exposed to building solutions related to human activity analysis in videos 1. reads research papers to understand the latest developments in activity recognition, multi-camera object tracking problems 2. Devlops production quality code to convert the research to usable features on https://deeplabel.app. 3. Gets to work on Video Language model architectures. 4. Along with strong research skills, good coding skills and knowledge of Data structures and algorithms is required. Qualifications Strong coding skills in Python Thorough hands-on knowledge of Deep Learning frameworks - Pytorch, Onnx Excellent understanding and experience of deploying data pipelines for Computer Vision projects. Good working knowledge of troubleshooting, fixing and patching Linux system level problems (we expect engineers to set up their own workstations, install, troubleshoot Cuda problems and OpenCV2 problems). Good understanding of Deep Learning concepts (model parameters, tuning of models, optimizers, learning rates, attention mechanisms, masking etc). Thorough understanding of deep learning implementations of activity detection or object detection. Ability to read research papers and implement new approaches for activity detection and object detection. Knowledge of deployment tools like Triton inference server or Ray are a plus. In addition to the above : we need a few key personality attributes Willingness to learn and try till you succeed Curiosity to learn and experiment. Ability to work with full stack engineers of the AI platform team, to deploy your new innovations. Good communication skills Ability to take ownership of the respective modules for the whole lifecycle till deployment. Company Description Drillo.AI specializes in delivering tailored AI solutions that empower small and medium-sized businesses (SMBs) to innovate and grow. Our mission is to make advanced technology accessible, helping SMBs streamline operations, enhance decision-making, and drive sustainable success. With a deep understanding of the unique challenges faced by smaller enterprises, we provide scalable, cost-effective AI strategies to unlock new opportunities. By working closely with our clients, we help elevate their businesses to the next level. Show more Show less
At Drillo.AI, we deliver tailored AI solutions that empower small and medium-sized businesses (SMBs) to innovate and grow. Our mission is to make advanced technology accessible, helping SMBs streamline operations, enhance decision-making, and drive sustainable success. With a deep understanding of the unique challenges faced by smaller enterprises, we provide scalable, cost-effective AI strategies that unlock new opportunities. Our solutions elevate businesses to the next level. Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs) Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs. Role Description What you'll be doing: From Research to Reality: You'll be the bridge between cutting-edge academic research (activity recognition, multi-camera tracking, Video Language Models) and deployable, production-grade features on https://deeplabel.app. Building Solutions: Design, develop, and optimize Deep Learning models for human activity analysis in videos, from initial concept to final deployment. System Ownership: Take charge of your modules, ensuring they're robust, efficient, and seamlessly integrated with our AI platform, collaborating closely with our full-stack team. We're seeking a candidate with: 4-5 years of industry experience, with 2-3 years specifically in practical, project-driven Deep Learning in the Video AI domain. Rock-solid Python coding skills. Deep practical knowledge of PyTorch and ONNX. Proven track record of deploying data pipelines for Computer Vision projects. The ability to independently set up, troubleshoot, and optimize Linux workstations (CUDA, OpenCV). A strong grasp of Deep Learning concepts (optimizers, attention, masking, model tuning). Demonstrated experience with activity detection or object detection implementations. A keen ability to read and implement new approaches from research papers. Your personality is just as important: You're incredibly curious and love to experiment. You have an unwavering commitment to learning and overcoming challenges. You're a great communicator and thrive in a collaborative environment. You take full ownership of your work, seeing it through to successful deployment. Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs) Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs. Industry IT Services and IT Consulting Employment Type Full-time Edit job description
Company Description Drillo specializes in providing tailored AI solutions to empower small and medium-sized businesses in innovating and growing. Their mission is to make advanced technology accessible to help SMBs streamline operations, enhance decision-making, and drive sustainable success by offering scalable, cost-effective AI strategies. Key Responsibilities: Talent Sourcing: Proactively source and identify qualified candidates through various channels, including job boards, social media, networking events, and employee referrals. Build and maintain a pipeline of top IT talent, ensuring a diverse pool of candidates for current and future openings. Candidate Screening & Interviewing: Conduct thorough screenings of candidates to assess their technical skills, cultural fit, and alignment with the role requirements. Coordinate and conduct initial interviews, including technical assessments where applicable, and present qualified candidates to hiring managers. Schedule and facilitate interviews between candidates and hiring teams, ensuring a smooth and positive experience for all parties involved. Collaboration with Hiring Managers: Partner with hiring managers to understand their specific hiring needs, job requirements, and team dynamics. Provide guidance and recommendations to hiring managers on market trends, candidate availability, and competitive compensation packages. Collaborate with hiring managers to refine job descriptions, role requirements, and interview processes as needed. Offer Management & Negotiation: Extend job offers to candidates and negotiate terms, including salary, benefits, and start dates, ensuring a win-win outcome for both the candidate and the company. Manage the offer acceptance process and assist with the onboarding of new hires. Recruitment Strategy & Process Improvement: Develop and implement effective recruitment strategies to attract top IT talent in a competitive market. Continuously assess and improve recruitment processes to enhance efficiency, candidate experience, and time-to-fill metrics. Track and analyze recruitment data to report on key performance indicators (KPIs) such as time-to-hire, cost-per-hire, and candidate satisfaction. Employer Branding: Promote the company’s employer brand by creating engaging job postings, leveraging social media, and participating in industry events. Develop relationships with universities, coding bootcamps, and professional organizations to build a talent pipeline. Compliance & Documentation: Ensure all recruitment activities comply with relevant employment laws and company policies. Maintain accurate and up-to-date candidate records in the applicant tracking system (ATS). Qualifications: Education & Experience: Bachelor’s degree in Human Resources, Business, Information Technology, or a related field; or equivalent experience. 3+ years of experience in IT recruiting, preferably within the USA. Proven track record of successfully recruiting for a variety of IT roles, including software developers, network engineers, system administrators, data scientists, and cybersecurity specialists. Technical Skills: Strong understanding of technical roles, programming languages, software development processes, and IT infrastructure. Proficiency in using applicant tracking systems (ATS) and recruitment tools like LinkedIn Recruiter, Indeed, and other job boards. Experience with Boolean search techniques and other advanced sourcing strategies. Soft Skills: Excellent communication and interpersonal skills, with the ability to build strong relationships with candidates and hiring managers. Strong negotiation and closing skills, with the ability to manage complex offer situations. Highly organized, with strong attention to detail and the ability to manage multiple priorities in a fast-paced environment. Proactive and self-motivated, with a passion for identifying and hiring top talent. Preferred Qualifications: Experience recruiting for both contract and permanent positions. Familiarity with visa sponsorship processes and regulations (H-1B, L-1, etc.). Experience in a staffing agency or consultancy environment. Certification in recruiting or human resources (e.g., AIRS, SHRM, PHR).